a 1$eڸ@sLddlmZddlZddlZddlmZmZmZmZddlZddl Z ddl Z ddl m Z mZddlmZddlmZddlZddlmZddlmZdd lmZmZdd lmZdd lmZddlZd d l m!Z"d dl#m$Z$d dl%m&Z&m'Z'm(Z(m)Z)m*Z*m+Z+m,Z,d dl-m.Z.ej/rddl0Z0dddddZ1dddZ2Gdddee Z3dS)) annotationsN)OptionalAnyCallableDict)Series MultiIndex)SingleBlockManager)CRS) BaseGeometry)GeometryCollection) GeoPandasBase_delegate_property plot_series_explore_geoseries)_compat)doc) GeometryDtype from_shapelyfrom_wkbfrom_wktpoints_from_xyto_wkbto_wkt)is_geometry_type Optional[Any]crscKsDztf|||d|WSty>tf||d|YS0dS)z A flexible constructor for GeoSeries._constructor, which needs to be able to fall back to a Series (if a certain operation does not produce geometries) )dataindexr )r!r"N) GeoSeries TypeErrorr)r!r"r kwargsr&O/var/www/html/django/DPS/env/lib/python3.9/site-packages/geopandas/geoseries.py$_geoseries_constructor_with_fallback(s r(cOsddlm}tj|g|Ri|}d}t|trF|jdurB|jnd}|jddkr^|jd}|j dk dkr|dust ||s||}d|_ n | |}|S)Nr GeoDataFramergeometry) geopandasr*pdZ DataFrame isinstancer#nameshapecolumnsZdtypessumrZ_geometry_column_nameZ set_geometry)r!argsr%r*dfZ geo_col_namer&r&r'_geoseries_expanddim6s    r5cseZdZdZdgZdqddfdd Zddd d Zeddd d Zed dddZ ed dddZ ed dddZ e dddddZ e drdddddZe dsdddddZe dtddddZe dudddd d!d"Zed#dd$d%Zdvdd&d'd(d)d*Zed+d,Zed-d.Zfd/d0Zd1d2Zeejd3d4Zeejd5d6Zeejd7d8Zeejdwd:d;fdd? Zd dd@dAZ d dfdBdC Z!d ddDdEZ"dxd:dGfdHdI Z#d:ddJdKZ$ee%dLdMZ&ee'dNdOZ(dydddPdQZ)dzddRd:d:dSdTdUZ*d{ddRddVdWdXZ+d|dZd[d\d]d^Z,dZdd_d`Z-d}d:d dadbdcZ.d ddddeZ/dfdgZ0dhdiZ1djdkZ2dldmZ3d~d:ddndodpZ4Z5S)r#u A Series object designed to store shapely geometry objects. Parameters ---------- data : array-like, dict, scalar value The geometries to store in the GeoSeries. index : array-like or Index The index for the GeoSeries. crs : value (optional) Coordinate Reference System of the geometry objects. Can be anything accepted by :meth:`pyproj.CRS.from_user_input() `, such as an authority string (eg "EPSG:4326") or a WKT string. kwargs Additional arguments passed to the Series constructor, e.g. ``name``. Examples -------- >>> from shapely.geometry import Point >>> s = geopandas.GeoSeries([Point(1, 1), Point(2, 2), Point(3, 3)]) >>> s 0 POINT (1.00000 1.00000) 1 POINT (2.00000 2.00000) 2 POINT (3.00000 3.00000) dtype: geometry >>> s = geopandas.GeoSeries( ... [Point(1, 1), Point(2, 2), Point(3, 3)], crs="EPSG:3857" ... ) >>> s.crs # doctest: +SKIP Name: WGS 84 / Pseudo-Mercator Axis Info [cartesian]: - X[east]: Easting (metre) - Y[north]: Northing (metre) Area of Use: - name: World - 85°S to 85°N - bounds: (-180.0, -85.06, 180.0, 85.06) Coordinate Operation: - name: Popular Visualisation Pseudo-Mercator - method: Popular Visualisation Pseudo Mercator Datum: World Geodetic System 1984 - Ellipsoid: WGS 84 - Prime Meridian: Greenwich >>> s = geopandas.GeoSeries( ... [Point(1, 1), Point(2, 2), Point(3, 3)], index=["a", "b", "c"], crs=4326 ... ) >>> s a POINT (1.00000 1.00000) b POINT (2.00000 2.00000) c POINT (3.00000 3.00000) dtype: geometry >>> s.crs Name: WGS 84 Axis Info [ellipsoidal]: - Lat[north]: Geodetic latitude (degree) - Lon[east]: Geodetic longitude (degree) Area of Use: - name: World. - bounds: (-180.0, -90.0, 180.0, 90.0) Datum: World Geodetic System 1984 ensemble - Ellipsoid: WGS 84 - Prime Meridian: Greenwich See Also -------- GeoDataFrame pandas.Series r/Nrrc  st|dr0|r0|js|}n|j|ks0tdt|trdt|jdjtsdt d|jdjdt|t r|dur~t |nd}|g|}| dd}t |s| ddtHd }td |ttd |ttj|f||d |}Wdn1s0Y|jtkrX|jr0|jd ks:|durF|t}nt d|jdzt|j|}Wn&t yt d|jdYn0|j}|j}tj|f||d ||js||_dS) Nr zCRS mismatch between CRS of the passed geometries and 'crs'. Use 'GeoSeries.set_crs(crs, allow_override=True)' to overwrite CRS or 'GeoSeries.to_crs(crs)' to reproject geometries. rzKNon geometry data passed to GeoSeries constructor, received data of dtype ''rr/dtypez"The default dtype for empty Seriesignorer"r/float64)hasattrr copy ValueErrorr.r blocksr7rr$r lenpoprcompatZignore_shapely2_warningswarningsfilterwarningsDeprecationWarning FutureWarningr-robjectemptyZastypervaluesr"r/super__init__) selfr!r"r r%nr/Z empty_msgs __class__r&r'rJs\          8   zGeoSeries.__init__)returncOs|jdg|Ri|S)Nappend_wrapped_pandas_methodrKr3r%r&r&r'rQszGeoSeries.appendcCs|SNr&rKr&r&r'r+szGeoSeries.geometryrcCs td|S)aReturn the x location of point geometries in a GeoSeries Returns ------- pandas.Series Examples -------- >>> from shapely.geometry import Point >>> s = geopandas.GeoSeries([Point(1, 1), Point(2, 2), Point(3, 3)]) >>> s.x 0 1.0 1 2.0 2 3.0 dtype: float64 See Also -------- GeoSeries.y GeoSeries.z xrrVr&r&r'rWsz GeoSeries.xcCs td|S)aReturn the y location of point geometries in a GeoSeries Returns ------- pandas.Series Examples -------- >>> from shapely.geometry import Point >>> s = geopandas.GeoSeries([Point(1, 1), Point(2, 2), Point(3, 3)]) >>> s.y 0 1.0 1 2.0 2 3.0 dtype: float64 See Also -------- GeoSeries.x GeoSeries.z yrXrVr&r&r'rYsz GeoSeries.ycCs td|S)aReturn the z location of point geometries in a GeoSeries Returns ------- pandas.Series Examples -------- >>> from shapely.geometry import Point >>> s = geopandas.GeoSeries([Point(1, 1, 1), Point(2, 2, 2), Point(3, 3, 3)]) >>> s.z 0 1.0 1 2.0 2 3.0 dtype: float64 See Also -------- GeoSeries.x GeoSeries.y zrXrVr&r&r'rZ sz GeoSeries.zzos.PathLike | typing.IO)filenamerPcKs.ddlm}|j|fi|}t|j|jdS)aAlternate constructor to create a ``GeoSeries`` from a file. Can load a ``GeoSeries`` from a file from any format recognized by `fiona`. See http://fiona.readthedocs.io/en/latest/manual.html for details. From a file with attributes loads only geometry column. Note that to do that, GeoPandas first loads the whole GeoDataFrame. Parameters ---------- filename : str File path or file handle to read from. Depending on which kwargs are included, the content of filename may vary. See http://fiona.readthedocs.io/en/latest/README.html#usage for usage details. kwargs : key-word arguments These arguments are passed to fiona.open, and can be used to access multi-layer data, data stored within archives (zip files), etc. Examples -------- >>> import geodatasets >>> path = geodatasets.get_path('nybb') >>> s = geopandas.GeoSeries.from_file(path) >>> s 0 MULTIPOLYGON (((970217.022 145643.332, 970227.... 1 MULTIPOLYGON (((1029606.077 156073.814, 102957... 2 MULTIPOLYGON (((1021176.479 151374.797, 102100... 3 MULTIPOLYGON (((981219.056 188655.316, 980940.... 4 MULTIPOLYGON (((1012821.806 229228.265, 101278... Name: geometry, dtype: geometry See Also -------- read_file : read file to GeoDataFrame rr)r)r,r* from_filer#r+r )clsr[r%r*r4r&r&r'r\<s% zGeoSeries.from_file)r rPcKs|jt|f||d|S)a9 Alternate constructor to create a ``GeoSeries`` from a list or array of WKB objects Parameters ---------- data : array-like or Series Series, list or array of WKB objects index : array-like or Index The index for the GeoSeries. crs : value, optional Coordinate Reference System of the geometry objects. Can be anything accepted by :meth:`pyproj.CRS.from_user_input() `, such as an authority string (eg "EPSG:4326") or a WKT string. kwargs Additional arguments passed to the Series constructor, e.g. ``name``. Returns ------- GeoSeries See Also -------- GeoSeries.from_wkt r"r )_from_wkb_or_wkbrr]r!r"r r%r&r&r'rgs zGeoSeries.from_wkbcKs|jt|f||d|S)a Alternate constructor to create a ``GeoSeries`` from a list or array of WKT objects Parameters ---------- data : array-like, Series Series, list, or array of WKT objects index : array-like or Index The index for the GeoSeries. crs : value, optional Coordinate Reference System of the geometry objects. Can be anything accepted by :meth:`pyproj.CRS.from_user_input() `, such as an authority string (eg "EPSG:4326") or a WKT string. kwargs Additional arguments passed to the Series constructor, e.g. ``name``. Returns ------- GeoSeries See Also -------- GeoSeries.from_wkb Examples -------- >>> wkts = [ ... 'POINT (1 1)', ... 'POINT (2 2)', ... 'POINT (3 3)', ... ] >>> s = geopandas.GeoSeries.from_wkt(wkts) >>> s 0 POINT (1.00000 1.00000) 1 POINT (2.00000 2.00000) 2 POINT (3.00000 3.00000) dtype: geometry r^)r_rr`r&r&r'rs.zGeoSeries.from_wktcKsr|durPt|trPt|trP|j|jrP|dusJt|trP|j|jrP|j}|t||||df||d|S)ay Alternate constructor to create a :class:`~geopandas.GeoSeries` of Point geometries from lists or arrays of x, y(, z) coordinates In case of geographic coordinates, it is assumed that longitude is captured by ``x`` coordinates and latitude by ``y``. Parameters ---------- x, y, z : iterable index : array-like or Index, optional The index for the GeoSeries. If not given and all coordinate inputs are Series with an equal index, that index is used. crs : value, optional Coordinate Reference System of the geometry objects. Can be anything accepted by :meth:`pyproj.CRS.from_user_input() `, such as an authority string (eg "EPSG:4326") or a WKT string. **kwargs Additional arguments passed to the Series constructor, e.g. ``name``. Returns ------- GeoSeries See Also -------- GeoSeries.from_wkt points_from_xy Examples -------- >>> x = [2.5, 5, -3.0] >>> y = [0.5, 1, 1.5] >>> s = geopandas.GeoSeries.from_xy(x, y, crs="EPSG:4326") >>> s 0 POINT (2.50000 0.50000) 1 POINT (5.00000 1.00000) 2 POINT (-3.00000 1.50000) dtype: geometry Nrr^)r.rr"equalsr)r]rWrYrZr"r r%r&r&r'from_xys-  zGeoSeries.from_xyr)from_wkb_or_wkt_functionr rPcKsFt|tr*|dur||}n|j}|j}||||dfd|i|S)z0Create a GeoSeries from either WKT or WKB valuesNrr")r.rZreindexr"rH)r]rcr!r"r r%r&r&r'r_s  zGeoSeries._from_wkb_or_wkbrcCsddlm}|d|ijS)aReturns a ``GeoSeries`` as a python feature collection. Implements the `geo_interface`. The returned python data structure represents the ``GeoSeries`` as a GeoJSON-like ``FeatureCollection``. Note that the features will have an empty ``properties`` dict as they don't have associated attributes (geometry only). Examples -------- >>> from shapely.geometry import Point >>> s = geopandas.GeoSeries([Point(1, 1), Point(2, 2), Point(3, 3)]) >>> s.__geo_interface__ {'type': 'FeatureCollection', 'features': [{'id': '0', 'type': 'Feature', 'properties': {}, 'geometry': {'type': 'Point', 'coordinates': (1.0, 1.0)}, 'bbox': (1.0, 1.0, 1.0, 1.0)}, {'id': '1', 'type': 'Feature', 'properties': {}, 'geometry': {'type': 'Point', 'coordinates': (2.0, 2.0)}, 'bbox': (2.0, 2.0, 2.0, 2.0)}, {'id': '2', 'type': 'Feature', 'properties': {}, 'geometry': {'type': 'Point', 'coordinates': (3.0, 3.0)}, 'bbox': (3.0, 3.0, 3.0, 3.0)}], 'bbox': (1.0, 1.0, 3.0, 3.0)} rr)r+)r,r*__geo_interface__)rKr*r&r&r'rds zGeoSeries.__geo_interface__z Optional[str]zOptional[bool])r[driverr"cKsBddlm}|d|i|jd}|j|_|j||fd|i|dS)aE Write the ``GeoSeries`` to a file. By default, an ESRI shapefile is written, but any OGR data source supported by Fiona can be written. Parameters ---------- filename : string File path or file handle to write to. The path may specify a GDAL VSI scheme. driver : string, default None The OGR format driver used to write the vector file. If not specified, it attempts to infer it from the file extension. If no extension is specified, it saves ESRI Shapefile to a folder. index : bool, default None If True, write index into one or more columns (for MultiIndex). Default None writes the index into one or more columns only if the index is named, is a MultiIndex, or has a non-integer data type. If False, no index is written. .. versionadded:: 0.7 Previously the index was not written. mode : string, default 'w' The write mode, 'w' to overwrite the existing file and 'a' to append. Not all drivers support appending. The drivers that support appending are listed in fiona.supported_drivers or https://github.com/Toblerity/Fiona/blob/master/fiona/drvsupport.py crs : pyproj.CRS, default None If specified, the CRS is passed to Fiona to better control how the file is written. If None, GeoPandas will determine the crs based on crs df attribute. The value can be anything accepted by :meth:`pyproj.CRS.from_user_input() `, such as an authority string (eg "EPSG:4326") or a WKT string. engine : str, "fiona" or "pyogrio" The underlying library that is used to write the file. Currently, the supported options are "fiona" and "pyogrio". Defaults to "fiona" if installed, otherwise tries "pyogrio". **kwargs : Keyword args to be passed to the engine, and can be used to write to multi-layer data, store data within archives (zip files), etc. In case of the "fiona" engine, the keyword arguments are passed to fiona.open`. For more information on possible keywords, type: ``import fiona; help(fiona.open)``. In case of the "pyogrio" engine, the keyword arguments are passed to `pyogrio.write_dataframe`. See Also -------- GeoDataFrame.to_file : write GeoDataFrame to file read_file : read file to GeoDataFrame Examples -------- >>> s.to_file('series.shp') # doctest: +SKIP >>> s.to_file('series.gpkg', driver='GPKG', layer='name1') # doctest: +SKIP >>> s.to_file('series.geojson', driver='GeoJSON') # doctest: +SKIP rr)r+r"r"N)r,r*r"r to_file)rKr[rer"r%r*r!r&r&r'rgsC zGeoSeries.to_filecCstSrU)r(rVr&r&r' _constructorjszGeoSeries._constructorcCstSrU)r5rVr&r&r'_constructor_expanddimnsz GeoSeries._constructor_expanddimcs4tt||i|}t|tkr0t|_|j|_|S)z=Wrap a generic pandas method to ensure it returns a GeoSeries)getattrrItyperr#rOr )rKZmtdr3r%valrNr&r'rSrs  z GeoSeries._wrapped_pandas_methodcCs |d|S)N __getitem__rR)rKkeyr&r&r'rmzszGeoSeries.__getitem__cOs|jdg|Ri|S)N sort_indexrRrTr&r&r'ro}szGeoSeries.sort_indexcOs|jdg|Ri|S)NtakerRrTr&r&r'rpszGeoSeries.takecOs|jdg|Ri|S)NselectrRrTr&r&r'rqszGeoSeries.selectr&bool) convert_dtypec s`|dur||d<ntjs d|d<tj|fd|i|}t|tr\|jdur\|j|jdd|S)NrsTr3inplace)rAZ PANDAS_GE_21rIapplyr.r#r set_crs)rKfuncrsr3r%resultrNr&r'rvs   zGeoSeries.applycs tS)a Detect missing values. Historically, NA values in a GeoSeries could be represented by empty geometric objects, in addition to standard representations such as None and np.nan. This behaviour is changed in version 0.6.0, and now only actual missing values return True. To detect empty geometries, use ``GeoSeries.is_empty`` instead. Returns ------- A boolean pandas Series of the same size as the GeoSeries, True where a value is NA. Examples -------- >>> from shapely.geometry import Polygon >>> s = geopandas.GeoSeries( ... [Polygon([(0, 0), (1, 1), (0, 1)]), None, Polygon([])] ... ) >>> s 0 POLYGON ((0.00000 0.00000, 1.00000 1.00000, 0.... 1 None 2 POLYGON EMPTY dtype: geometry >>> s.isna() 0 False 1 True 2 False dtype: bool See Also -------- GeoSeries.notna : inverse of isna GeoSeries.is_empty : detect empty geometries )rIisnarVrNr&r'rzs&zGeoSeries.isnacCs|S)z4Alias for `isna` method. See `isna` for more detail.)rzrVr&r&r'isnullszGeoSeries.isnullcs$|jrtjdtddtS)a Detect non-missing values. Historically, NA values in a GeoSeries could be represented by empty geometric objects, in addition to standard representations such as None and np.nan. This behaviour is changed in version 0.6.0, and now only actual missing values return False. To detect empty geometries, use ``~GeoSeries.is_empty`` instead. Returns ------- A boolean pandas Series of the same size as the GeoSeries, False where a value is NA. Examples -------- >>> from shapely.geometry import Polygon >>> s = geopandas.GeoSeries( ... [Polygon([(0, 0), (1, 1), (0, 1)]), None, Polygon([])] ... ) >>> s 0 POLYGON ((0.00000 0.00000, 1.00000 1.00000, 0.... 1 None 2 POLYGON EMPTY dtype: geometry >>> s.notna() 0 True 1 False 2 True dtype: bool See Also -------- GeoSeries.isna : inverse of notna GeoSeries.is_empty : detect empty geometries aGeoSeries.notna() previously returned False for both missing (None) and empty geometries. Now, it only returns False for missing values. Since the calling GeoSeries contains empty geometries, the result has changed compared to previous versions of GeoPandas. Given a GeoSeries 's', you can use '~s.is_empty & s.notna()' to get back the old behaviour. To further ignore this warning, you can do: import warnings; warnings.filterwarnings('ignore', 'GeoSeries.notna', UserWarning) stacklevel)Zis_emptyanyrBwarn UserWarningrInotnarVrNr&r'rs&   zGeoSeries.notnacCs|S)z6Alias for `notna` method. See `notna` for more detail.)rrVr&r&r'notnullszGeoSeries.notnullFrtc s4|durtjrtnt}tjf|||d|S)a Fill NA values with geometry (or geometries). ``method`` is currently not implemented. Parameters ---------- value : shapely geometry or GeoSeries, default None If None is passed, NA values will be filled with GEOMETRYCOLLECTION EMPTY. If a shapely geometry object is passed, it will be used to fill all missing values. If a ``GeoSeries`` or ``GeometryArray`` are passed, missing values will be filled based on the corresponding index locations. If pd.NA or np.nan are passed, values will be filled with ``None`` (not GEOMETRYCOLLECTION EMPTY). Returns ------- GeoSeries Examples -------- >>> from shapely.geometry import Polygon >>> s = geopandas.GeoSeries( ... [ ... Polygon([(0, 0), (1, 1), (0, 1)]), ... None, ... Polygon([(0, 0), (-1, 1), (0, -1)]), ... ] ... ) >>> s 0 POLYGON ((0.00000 0.00000, 1.00000 1.00000, 0.... 1 None 2 POLYGON ((0.00000 0.00000, -1.00000 1.00000, 0... dtype: geometry Filled with an empty polygon. >>> s.fillna() 0 POLYGON ((0.00000 0.00000, 1.00000 1.00000, 0.... 1 GEOMETRYCOLLECTION EMPTY 2 POLYGON ((0.00000 0.00000, -1.00000 1.00000, 0... dtype: geometry Filled with a specific polygon. >>> s.fillna(Polygon([(0, 1), (2, 1), (1, 2)])) 0 POLYGON ((0.00000 0.00000, 1.00000 1.00000, 0.... 1 POLYGON ((0.00000 1.00000, 2.00000 1.00000, 1.... 2 POLYGON ((0.00000 0.00000, -1.00000 1.00000, 0... dtype: geometry Filled with another GeoSeries. >>> from shapely.geometry import Point >>> s_fill = geopandas.GeoSeries( ... [ ... Point(0, 0), ... Point(1, 1), ... Point(2, 2), ... ] ... ) >>> s.fillna(s_fill) 0 POLYGON ((0.00000 0.00000, 1.00000 1.00000, 0.... 1 POINT (1.00000 1.00000) 2 POLYGON ((0.00000 0.00000, -1.00000 1.00000, 0... dtype: geometry See Also -------- GeoSeries.isna : detect missing values N)valuemethodru)rAZ SHAPELY_GE_20r r rIfillna)rKrrrur%rNr&r'rsHzGeoSeries.fillnacCs"t|trt||SdSdS)zAllow tests of the form "geom in s" Tests whether a GeoSeries contains a geometry. Note: This is not the same as the geometric method "contains". FN)r.r nprZ geom_equalsrKotherr&r&r' __contains__Ls zGeoSeries.__contains__cOst|g|Ri|SrUrrTr&r&r'plotXszGeoSeries.plotcOst|g|Ri|S)z*Interactive map based on folium/leaflet.jsrrTr&r&r'explore\szGeoSeries.explorec sddlm}|dur,|s,tjdtddd}tjs>tjrtjrtjr\t j |j j dd\}}nd dl }|j |j j dd\}}||j|||d }t|||jd |Sg}g}|jD]d\}|jd s|jd kr|j} fddtt| D} n|g} d fg} || || q|r.tt|}nJ|rjt|jtrPdd|D}tj||jjdgd}ndd|D}t|||jd |S)u Explode multi-part geometries into multiple single geometries. Single rows can become multiple rows. This is analogous to PostGIS's ST_Dump(). The 'path' index is the second level of the returned MultiIndex Parameters ---------- ignore_index : bool, default False If True, the resulting index will be labelled 0, 1, …, n - 1, ignoring `index_parts`. index_parts : boolean, default True If True, the resulting index will be a multi-index (original index with an additional level indicating the multiple geometries: a new zero-based index for each single part geometry per multi-part geometry). Returns ------- A GeoSeries with a MultiIndex. The levels of the MultiIndex are the original index and a zero-based integer index that counts the number of single geometries within a multi-part geometry. Examples -------- >>> from shapely.geometry import MultiPoint >>> s = geopandas.GeoSeries( ... [MultiPoint([(0, 0), (1, 1)]), MultiPoint([(2, 2), (3, 3), (4, 4)])] ... ) >>> s 0 MULTIPOINT (0.00000 0.00000, 1.00000 1.00000) 1 MULTIPOINT (2.00000 2.00000, 3.00000 3.00000, ... dtype: geometry >>> s.explode(index_parts=True) 0 0 POINT (0.00000 0.00000) 1 POINT (1.00000 1.00000) 1 0 POINT (2.00000 2.00000) 1 POINT (3.00000 3.00000) 2 POINT (4.00000 4.00000) dtype: geometry See also -------- GeoDataFrame.explode r)_get_index_for_partsNzCurrently, index_parts defaults to True, but in the future, it will default to False to be consistent with Pandas. Use `index_parts=True` to keep the current behavior and True/False to silence the warning.r|r}T)Z return_indexr) ignore_index index_partsr^ZMultir csg|] }|fqSr&r&).0iidxr&r' z%GeoSeries.explode..cSsg|]\}}t||fqSr&)tuple)routerinnerr&r&r'rr)namescSsg|] \}}|qSr&r&)rr_r&r&r'rr)baserrBrrErAZUSE_SHAPELY_20Z USE_PYGEOSZ PYGEOS_GE_09shapely get_partsrH_datapygeosr"r#r Z __finalize__r+itemsZ geom_type startswithgeomsranger?extendr.r from_tuplesr) rKrrrZ geometriesZ outer_idxrr"rMridxsr&rr'explodeasT1       zGeoSeries.explodez Optional[int])r epsgruallow_overridecCsl|durt|}n|dur(t|}ntd|sP|jdurP|j|ksPtd|s^|}n|}||_|S)u7 Set the Coordinate Reference System (CRS) of a ``GeoSeries``. NOTE: The underlying geometries are not transformed to this CRS. To transform the geometries to a new CRS, use the ``to_crs`` method. Parameters ---------- crs : pyproj.CRS, optional if `epsg` is specified The value can be anything accepted by :meth:`pyproj.CRS.from_user_input() `, such as an authority string (eg "EPSG:4326") or a WKT string. epsg : int, optional if `crs` is specified EPSG code specifying the projection. inplace : bool, default False If True, the CRS of the GeoSeries will be changed in place (while still returning the result) instead of making a copy of the GeoSeries. allow_override : bool, default False If the the GeoSeries already has a CRS, allow to replace the existing CRS, even when both are not equal. Returns ------- GeoSeries Examples -------- >>> from shapely.geometry import Point >>> s = geopandas.GeoSeries([Point(1, 1), Point(2, 2), Point(3, 3)]) >>> s 0 POINT (1.00000 1.00000) 1 POINT (2.00000 2.00000) 2 POINT (3.00000 3.00000) dtype: geometry Setting CRS to a GeoSeries without one: >>> s.crs is None True >>> s = s.set_crs('epsg:3857') >>> s.crs # doctest: +SKIP Name: WGS 84 / Pseudo-Mercator Axis Info [cartesian]: - X[east]: Easting (metre) - Y[north]: Northing (metre) Area of Use: - name: World - 85°S to 85°N - bounds: (-180.0, -85.06, 180.0, 85.06) Coordinate Operation: - name: Popular Visualisation Pseudo-Mercator - method: Popular Visualisation Pseudo Mercator Datum: World Geodetic System 1984 - Ellipsoid: WGS 84 - Prime Meridian: Greenwich Overriding existing CRS: >>> s = s.set_crs(4326, allow_override=True) Without ``allow_override=True``, ``set_crs`` returns an error if you try to override CRS. See Also -------- GeoSeries.to_crs : re-project to another CRS NzMust pass either crs or epsg.zThe GeoSeries already has a CRS which is not equal to the passed CRS. Specify 'allow_override=True' to allow replacing the existing CRS without doing any transformation. If you actually want to transform the geometries, use 'GeoSeries.to_crs' instead.)r Zfrom_user_inputZ from_epsgr=r r<)rKr rrurryr&r&r'rwsM   zGeoSeries.set_crs)r rrPcCst|jj||d|j|jdS)u Returns a ``GeoSeries`` with all geometries transformed to a new coordinate reference system. Transform all geometries in a GeoSeries to a different coordinate reference system. The ``crs`` attribute on the current GeoSeries must be set. Either ``crs`` or ``epsg`` may be specified for output. This method will transform all points in all objects. It has no notion of projecting entire geometries. All segments joining points are assumed to be lines in the current projection, not geodesics. Objects crossing the dateline (or other projection boundary) will have undesirable behavior. Parameters ---------- crs : pyproj.CRS, optional if `epsg` is specified The value can be anything accepted by :meth:`pyproj.CRS.from_user_input() `, such as an authority string (eg "EPSG:4326") or a WKT string. epsg : int, optional if `crs` is specified EPSG code specifying output projection. Returns ------- GeoSeries Examples -------- >>> from shapely.geometry import Point >>> s = geopandas.GeoSeries([Point(1, 1), Point(2, 2), Point(3, 3)], crs=4326) >>> s 0 POINT (1.00000 1.00000) 1 POINT (2.00000 2.00000) 2 POINT (3.00000 3.00000) dtype: geometry >>> s.crs # doctest: +SKIP Name: WGS 84 Axis Info [ellipsoidal]: - Lat[north]: Geodetic latitude (degree) - Lon[east]: Geodetic longitude (degree) Area of Use: - name: World - bounds: (-180.0, -90.0, 180.0, 90.0) Datum: World Geodetic System 1984 - Ellipsoid: WGS 84 - Prime Meridian: Greenwich >>> s = s.to_crs(3857) >>> s 0 POINT (111319.491 111325.143) 1 POINT (222638.982 222684.209) 2 POINT (333958.472 334111.171) dtype: geometry >>> s.crs # doctest: +SKIP Name: WGS 84 / Pseudo-Mercator Axis Info [cartesian]: - X[east]: Easting (metre) - Y[north]: Northing (metre) Area of Use: - name: World - 85°S to 85°N - bounds: (-180.0, -85.06, 180.0, 85.06) Coordinate Operation: - name: Popular Visualisation Pseudo-Mercator - method: Popular Visualisation Pseudo Mercator Datum: World Geodetic System 1984 - Ellipsoid: WGS 84 - Prime Meridian: Greenwich See Also -------- GeoSeries.set_crs : assign CRS )r rr9)r#rHto_crsr"r/)rKr rr&r&r'r6sNzGeoSeries.to_crsWGS 84strr ) datum_namerPcCs |j|S)uIReturns the estimated UTM CRS based on the bounds of the dataset. .. versionadded:: 0.9 Parameters ---------- datum_name : str, optional The name of the datum to use in the query. Default is WGS 84. Returns ------- pyproj.CRS Examples -------- >>> import geodatasets >>> df = geopandas.read_file( ... geodatasets.get_path("geoda.chicago_health") ... ) >>> df.geometry.estimate_utm_crs() # doctest: +SKIP Name: WGS 84 / UTM zone 16N Axis Info [cartesian]: - E[east]: Easting (metre) - N[north]: Northing (metre) Area of Use: - name: Between 90°W and 84°W, northern hemisphere between equator and 84°N, ... - bounds: (-90.0, 0.0, -84.0, 84.0) Coordinate Operation: - name: UTM zone 16N - method: Transverse Mercator Datum: World Geodetic System 1984 ensemble - Ellipsoid: WGS 84 - Prime Meridian: Greenwich )rHestimate_utm_crs)rKrr&r&r'rs$zGeoSeries.estimate_utm_crscKstj|jfi|S)as Returns a GeoJSON string representation of the GeoSeries. Parameters ---------- *kwargs* that will be passed to json.dumps(). Returns ------- JSON string Examples -------- >>> from shapely.geometry import Point >>> s = geopandas.GeoSeries([Point(1, 1), Point(2, 2), Point(3, 3)]) >>> s 0 POINT (1.00000 1.00000) 1 POINT (2.00000 2.00000) 2 POINT (3.00000 3.00000) dtype: geometry >>> s.to_json() '{"type": "FeatureCollection", "features": [{"id": "0", "type": "Feature", "properties": {}, "geometry": {"type": "Point", "coordinates": [1.0, 1.0]}, "bbox": [1.0, 1.0, 1.0, 1.0]}, {"id": "1", "type": "Feature", "properties": {}, "geometry": {"type": "Point", "coordinates": [2.0, 2.0]}, "bbox": [2.0, 2.0, 2.0, 2.0]}, {"id": "2", "type": "Feature", "properties": {}, "geometry": {"type": "Point", "coordinates": [3.0, 3.0]}, "bbox": [3.0, 3.0, 3.0, 3.0]}], "bbox": [1.0, 1.0, 3.0, 3.0]}' See Also -------- GeoSeries.to_file : write GeoSeries to file )jsondumpsrdrKr%r&r&r'to_jsons"zGeoSeries.to_json)hexrPcKs tt|jfd|i||jdS)aH Convert GeoSeries geometries to WKB Parameters ---------- hex : bool If true, export the WKB as a hexadecimal string. The default is to return a binary bytes object. kwargs Additional keyword args will be passed to :func:`shapely.to_wkb` if shapely >= 2 is installed or :func:`pygeos.to_wkb` if pygeos is installed. Returns ------- Series WKB representations of the geometries See also -------- GeoSeries.to_wkt rrf)rrarrayr")rKrr%r&r&r'rszGeoSeries.to_wkbcKstt|jfi||jdS)a Convert GeoSeries geometries to WKT Parameters ---------- kwargs Keyword args will be passed to :func:`pygeos.to_wkt` if pygeos is installed. Returns ------- Series WKT representations of the geometries Examples -------- >>> from shapely.geometry import Point >>> s = geopandas.GeoSeries([Point(1, 1), Point(2, 2), Point(3, 3)]) >>> s 0 POINT (1.00000 1.00000) 1 POINT (2.00000 2.00000) 2 POINT (3.00000 3.00000) dtype: geometry >>> s.to_wkt() 0 POINT (1 1) 1 POINT (2 2) 2 POINT (3 3) dtype: object See also -------- GeoSeries.to_wkb rf)rrrr"rr&r&r'rs#zGeoSeries.to_wktcCstjdtdd||S)z,Implement ^ operator as for builtin set typezO'^' operator will be deprecated. Use the 'symmetric_difference' method instead.r|r})rBrrEsymmetric_differencerr&r&r'__xor__s zGeoSeries.__xor__cCstjdtdd||S)z,Implement | operator as for builtin set typez@'|' operator will be deprecated. Use the 'union' method instead.r|r})rBrrEunionrr&r&r'__or__s zGeoSeries.__or__cCstjdtdd||S)z,Implement & operator as for builtin set typezG'&' operator will be deprecated. Use the 'intersection' method instead.r|r})rBrrE intersectionrr&r&r'__and__'s zGeoSeries.__and__cCstjdtdd||S)z,Implement - operator as for builtin set typezE'-' operator will be deprecated. Use the 'difference' method instead.r|r})rBrrE differencerr&r&r'__sub__0s zGeoSeries.__sub__)keep_geom_typerPcCstj|||dS)aClip points, lines, or polygon geometries to the mask extent. Both layers must be in the same Coordinate Reference System (CRS). The GeoSeries will be clipped to the full extent of the `mask` object. If there are multiple polygons in mask, data from the GeoSeries will be clipped to the total boundary of all polygons in mask. Parameters ---------- mask : GeoDataFrame, GeoSeries, (Multi)Polygon, list-like Polygon vector layer used to clip `gdf`. The mask's geometry is dissolved into one geometric feature and intersected with GeoSeries. If the mask is list-like with four elements ``(minx, miny, maxx, maxy)``, ``clip`` will use a faster rectangle clipping (:meth:`~GeoSeries.clip_by_rect`), possibly leading to slightly different results. keep_geom_type : boolean, default False If True, return only geometries of original type in case of intersection resulting in multiple geometry types or GeometryCollections. If False, return all resulting geometries (potentially mixed-types). Returns ------- GeoSeries Vector data (points, lines, polygons) from `gdf` clipped to polygon boundary from mask. See also -------- clip : top-level function for clip Examples -------- Clip points (grocery stores) with polygons (the Near West Side community): >>> import geodatasets >>> chicago = geopandas.read_file( ... geodatasets.get_path("geoda.chicago_health") ... ) >>> near_west_side = chicago[chicago["community"] == "NEAR WEST SIDE"] >>> groceries = geopandas.read_file( ... geodatasets.get_path("geoda.groceries") ... ).to_crs(chicago.crs) >>> groceries.shape (148, 8) >>> nws_groceries = groceries.geometry.clip(near_west_side) >>> nws_groceries.shape (7,) )maskr)r,clip)rKrrr&r&r'r9s5zGeoSeries.clip)NNN)NN)NN)NNN)NN)NN)Nr&)NNF)FN)NNFF)NN)r)F)F)6__name__ __module__ __qualname____doc__ _metadatarJrQpropertyr+rWrYrZ classmethodr\rrrbr_rdrgrhrirSrmrr-rrorprqrvrzr{rrrrrrrrrrwrrrrrrrrrr __classcell__r&r&rNr'r#MsMD*!/6M      (6L   ucR&$)    r#)NNN)N)4 __future__rrtypingrrrrrBnumpyrZpandasr-rrZpandas.core.internalsr Zpyprojr rZshapely.geometry.baser Zshapely.geometryr Zgeopandas.baser rZgeopandas.plottingrZgeopandas.explorerr,rrAZ _decoratorrrrrrrrrrrr TYPE_CHECKINGosr(r5r#r&r&r&r's4         $